This is the first episode of a podcast series on Machine Learning and Data privacy. Machine Learning is the key to the new revolution in many industries. Nevertheless, ML does not exist without data and a lot of it, which in many cases results in the use of sensitive information. With new privacy regulations, access to data is today harder and much more difficult but, does that mean that ML and Data Science has its days counted? Will the Machines beat privacy?
Don’t forget to subscribe to the mlops.community slack (https://go.mlops.community/slack)) and to give a star to the Synthetic data open-source repo (https://github.com/ydataai/ydata-synt...))
Useful links:
Medium post with the podcast transcription - https://medium.com/@fabiana_clemente/...)
In case you’re curious about GDPR fines - enforcementtracker.com
The Netflix Prize - https://www.nytimes.com/2010/03/13/technology/13netflix.html)
Tensorflow privacy - https://github.com/tensorflow/privacy)
